Gemma 4 31B vs Qwen3.6 Plus
Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Gemma 4 31B and Qwen3.6 Plus are level for coding, 38.3 against 37.4 on the Vibe Coding Index, so price and context decide.
Pick Qwen3.6 Plus when the context window is larger, 1M against 262K tokens, or when what matters is LMArena WebDev or AA Coding Index, where it leads. Pick Gemma 4 31B when output tokens cost 4.9x less, or when what matters is ALE-Bench or LMArena Text: software and IT, where it leads.
- Shared results
- 46
- Gemma 4 31B only
- 22
- Qwen3.6 Plus only
- 37
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
No call
Level: 38.3 against 37.4, inside 2 points.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.6 Plus
Qwen3.6 Plus leads, 27.0 against 14.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemma 4 31B has a AA Agentic Index result, 4.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.6 Plus has a GPQA Diamond result, 87.4%.
Directional only
Math
AIME
No call
Only Qwen3.6 Plus has a AIME result, 94.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.6 Plus has a MMLU Pro result, 87.7%.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.6 Plus has a Design Arena: websites result, 1243.
Directional only
Long documents
Listed context window
Qwen3.6 Plus
Qwen3.6 Plus takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
Gemma 4 31B $0.0004, Qwen3.6 Plus $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.6 Plus has the number, $1.19.
Directional only
At a glance
- Coding index
- Gemma 4 31B 38.3 from 2 benchmarks, Qwen3.6 Plus 37.4 from 1 benchmark.
- Widest category
- Agentic work, 32.2 points apart on average over 1 shared benchmark.
- Widest single gap
- SimpleQA Verified: Gemma 4 31B 10.4% against Qwen3.6 Plus 44.1%, 33.7 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 31B $0.40 against Qwen3.6 Plus $1.95 per million output tokens, 4.9x apart.
- Context window
- Gemma 4 31B takes 262K tokens, Qwen3.6 Plus 1M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemma 4 31B | Bars | Qwen3.6 Plus | Ties |
|---|---|---|---|---|
| Coding | 2 | 6 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 2 | 4 | ||
| Math | 2 | 1 | ||
| Knowledge | 5 | 2 | ||
| General | 16 | 3 | ||
| All shared boards | 27 | 19 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index26
| Benchmark | Gemma 4 31B | Qwen3.6 Plus | Leader |
|---|---|---|---|
| LiveBench coding | 49.0% | Not measured | Only Gemma 4 31B measured |
| LMArena WebDev | 1367 | 1461 | Qwen3.6 Plus |
| AA Coding Index | 43.4 | 54.5 | Qwen3.6 Plus |
| LiveCodeBench (Vals AI) | Not measured | 86.0% | Only Qwen3.6 Plus measured |
| SWE-bench Verified (Vals AI) | Not measured | 73.4% | Only Qwen3.6 Plus measured |
| Vibe Code Bench (Vals AI) | Not measured | 25.6% | Only Qwen3.6 Plus measured |
| Code migration (Vals AI) | Not measured | 11.1% | Only Qwen3.6 Plus measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Qwen3.6 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 53.2% | Only Qwen3.6 Plus measured |
| SciCode | 45.5% | Not measured | Only Gemma 4 31B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 36.4% | 43.9% | Qwen3.6 Plus |
| WeirdML | 52.3% | Not measured | Only Gemma 4 31B measured |
| ALE-Bench | 925.5 | 670.1 | Gemma 4 31B |
| LMArena Text: coding | 1459 | 1467 | Qwen3.6 Plus |
| LMArena Text: software and IT | 1463 | 1462 | Gemma 4 31B |
| LMArena WebDev: React | 1359 | 1454 | Qwen3.6 Plus |
| LMArena WebDev: HTML | 1380 | 1463 | Qwen3.6 Plus |
| LMArena WebDev: from an image | Not measured | 1472 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemma 4 31B | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.7 | 27.0 | Qwen3.6 Plus |
| Epoch Capabilities Index | 143.0 | 147.3 | Qwen3.6 Plus |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 4 31B | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 4.2 | Not measured | Only Gemma 4 31B measured |
| LiveBench research | 44.4% | Not measured | Only Gemma 4 31B measured |
| LiveBench browser | 4.0% | Not measured | Only Gemma 4 31B measured |
| LiveBench long agentic | 13.3% | Not measured | Only Gemma 4 31B measured |
| Finance Agent (Vals AI) | Not measured | 40.9% | Only Qwen3.6 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.7% | Only Qwen3.6 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 14.9% | Only Qwen3.6 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 32.9% | Only Qwen3.6 Plus measured |
| τ²-Bench Telecom | 65.5% | 97.7% | Qwen3.6 Plus |
| Vending-Bench 2 | Not measured | $5,115 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Gemma 4 31B | Qwen3.6 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.4% | Only Qwen3.6 Plus measured |
| LiveBench reasoning | 68.3% | Not measured | Only Gemma 4 31B measured |
| MMMU Pro (Vals AI) | Not measured | 84.2% | Only Qwen3.6 Plus measured |
| GPQA Diamond (Artificial Analysis run) | 85.7% | 88.2% | Qwen3.6 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 23.6% | 27.8% | Qwen3.6 Plus |
| GPQA Diamond (Epoch AI run) | 75.8% | 88.4% | Qwen3.6 Plus |
| Chess puzzles | Not measured | 14.0% | Only Qwen3.6 Plus measured |
| Mystery game puzzles | Not measured | 12.0% | Only Qwen3.6 Plus measured |
| LMArena Text: hard prompts | 1448 | 1448 | Qwen3.6 Plus |
| LMArena Text: expert | 1464 | 1454 | Gemma 4 31B |
| LMArena Text: hard prompts in English | 1456 | 1455 | Gemma 4 31B |
| LMArena Vision: diagrams | 1283 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: homework | 1310 | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemma 4 31B | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AIME | Not measured | 94.6% | Only Qwen3.6 Plus measured |
| OTIS Mock AIME | 73.3% | 93.3% | Qwen3.6 Plus |
| FrontierMath, tiers 1 to 3 | Not measured | 38.2% | Only Qwen3.6 Plus measured |
| LMArena Text: math | 1463 | 1449 | Gemma 4 31B |
| LMArena Text: mathematical work | 1465 | 1448 | Gemma 4 31B |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Gemma 4 31B | Qwen3.6 Plus | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 87.7% | Only Qwen3.6 Plus measured |
| LegalBench (Vals AI) | Not measured | 84.2% | Only Qwen3.6 Plus measured |
| CaseLaw (Vals AI) | 52.6% | 51.5% | Gemma 4 31B |
| CorpFin (Vals AI) | Not measured | 61.9% | Only Qwen3.6 Plus measured |
| TaxEval (Vals AI) | Not measured | 74.7% | Only Qwen3.6 Plus measured |
| MortgageTax (Vals AI) | 61.4% | 68.0% | Qwen3.6 Plus |
| MedCode (Vals AI) | Not measured | 36.9% | Only Qwen3.6 Plus measured |
| SimpleQA Verified | 10.4% | 44.1% | Qwen3.6 Plus |
| LMArena Text: science | 1457 | 1439 | Gemma 4 31B |
| LMArena Text: medicine and healthcare | 1451 | 1442 | Gemma 4 31B |
| LMArena Text: legal and government | 1438 | 1437 | Gemma 4 31B |
| LMArena Text: business and finance | 1430 | 1430 | Gemma 4 31B |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemma 4 31B | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1243 | Only Qwen3.6 Plus measured |
| Design Arena: UI components | Not measured | 1233 | Only Qwen3.6 Plus measured |
| Design Arena: game dev | Not measured | 1211 | Only Qwen3.6 Plus measured |
| Design Arena: data viz | Not measured | 1228 | Only Qwen3.6 Plus measured |
| Design Arena: 3D | Not measured | 1202 | Only Qwen3.6 Plus measured |
| Design Arena: all code categories | Not measured | 1236 | Only Qwen3.6 Plus measured |
| Design Arena: SVG | Not measured | 1160 | Only Qwen3.6 Plus measured |
| Design Arena: ASCII art | Not measured | 1115 | Only Qwen3.6 Plus measured |
| LiveBench design | 58.4% | Not measured | Only Gemma 4 31B measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index163
| Benchmark | Gemma 4 31B | Qwen3.6 Plus | Leader |
|---|---|---|---|
| LiveBench data analysis | 53.3% | Not measured | Only Gemma 4 31B measured |
| SAGE (Vals AI) | 55.0% | 44.9% | Gemma 4 31B |
| MedScribe (Vals AI) | Not measured | 77.0% | Only Qwen3.6 Plus measured |
| Vals Multimodal Index | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| IFBench | 75.6% | 75.2% | Gemma 4 31B |
| Long context reasoning (AA-LCR) | 69.7% | 78.3% | Qwen3.6 Plus |
| DTBench | 82.7% | 81.9% | Gemma 4 31B |
| LMCA | 39.3% | 33.1% | Gemma 4 31B |
| CL-bench | Not measured | 20.3% | Only Qwen3.6 Plus measured |
| Surface Evolver Bench | 30.6% | Not measured | Only Gemma 4 31B measured |
| LMArena Text | 1443 | 1436 | Gemma 4 31B |
| LMArena Text: instruction following | 1433 | 1424 | Gemma 4 31B |
| LMArena Text: creative writing | 1417 | 1404 | Gemma 4 31B |
| LMArena Vision | 1276 | Not measured | Only Gemma 4 31B measured |
| LMArena Text: English | 1451 | 1445 | Gemma 4 31B |
| LMArena Text: non-English | 1430 | 1424 | Gemma 4 31B |
| LMArena Text: Chinese | 1475 | 1477 | Qwen3.6 Plus |
| LMArena Text: German | Not measured | 1451 | Only Qwen3.6 Plus measured |
| LMArena Text: Japanese | Not measured | 1390 | Only Qwen3.6 Plus measured |
| LMArena Text: Korean | Not measured | 1379 | Only Qwen3.6 Plus measured |
| LMArena Text: French | 1436 | 1455 | Qwen3.6 Plus |
| LMArena Text: Spanish | 1442 | 1432 | Gemma 4 31B |
| LMArena Text: Russian | 1460 | 1434 | Gemma 4 31B |
| LMArena Text: Polish | 1433 | 1433 | Gemma 4 31B |
| LMArena Text: multi-turn | 1452 | 1438 | Gemma 4 31B |
| LMArena Text: longer queries | 1446 | 1439 | Gemma 4 31B |
| LMArena Text: writing and language | 1432 | 1418 | Gemma 4 31B |
| LMArena Text: entertainment and media | 1405 | 1402 | Gemma 4 31B |
| LMArena Vision: English | 1271 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: Chinese | 1326 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: reading text | 1282 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: humor | 1280 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: captioning | 1218 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: recognizing things | 1226 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: creative writing | 1285 | Not measured | Only Gemma 4 31B measured |
| LMArena Document | 1425 | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 31B | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Gemma 4 31B costs less
Repository review
50K input + 3K output tokens
Gemma 4 31B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 31B costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemma 4 31B | Qwen3.6 Plus |
|---|---|---|
| Maker | Qwen | |
| Weights | Open weights | No public weights listed |
| Released | April 2, 2026 | April 2, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.20 | $0.325 |
| Output $/Mtok | $0.40 | $1.95 |
| Coding index | 38.3 | 37.4 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | $1.19 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 31B better than Qwen3.6 Plus for coding?
Gemma 4 31B and Qwen3.6 Plus are level for coding, 38.3 against 37.4 on the Vibe Coding Index, so price and context decide. Pick Qwen3.6 Plus when the context window is larger, 1M against 262K tokens, or when what matters is LMArena WebDev or AA Coding Index, where it leads. Pick Gemma 4 31B when output tokens cost 4.9x less, or when what matters is ALE-Bench or LMArena Text: software and IT, where it leads.
Which is cheaper, Gemma 4 31B or Qwen3.6 Plus?
Gemma 4 31B costs $0.20 per million input tokens and $0.40 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Cost per solved task is known for Qwen3.6 Plus only.
Which has the bigger context window, Gemma 4 31B or Qwen3.6 Plus?
Qwen3.6 Plus, with 1M tokens against 262K.
How many benchmarks is the Gemma 4 31B vs Qwen3.6 Plus comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and Qwen3.6 Plus's on 1. Where only one model has a result, the page says so instead of naming a winner.